MLOps Engineer

About the role

Bright Vision Technologies is seeking a MLOps Engineer to design, build, and operate high-performance, highly reliable inference platforms for serving large machine learning models in production. The role focuses on the systems engineering side of AI deployment, including request routing, batching, caching, autoscaling, GPU utilization, and end-to-end observability across diverse model workloads.

Responsibilities

• Design and operate model serving platforms supporting diverse workloads including LLMs, vision models, and recommendation systems
• Optimize inference performance using continuous batching, paged attention, speculative decoding, and request multiplexing
• Implement multi-tenant routing, rate limiting, and quality-of-service policies across model endpoints
• Build autoscaling and capacity management systems that balance latency, throughput, and cost
• Tune GPU utilization, memory management, and KV cache strategies for LLM serving workloads
• Integrate model serving with API gateways, identity systems, and observability platforms
• Implement caching, prompt deduplication, and response reuse strategies where appropriate
• Drive end-to-end observability including latency histograms, queue dynamics, GPU utilization, and error tracking
• Develop deployment workflows including canary releases, shadow testing, and automated rollback
• Operate incident response for high-availability AI services and drive durable reliability improvements
• Collaborate with ML and product teams to support new model releases and capability rollouts
• Implement security controls including request signing, content filtering, and abuse detection at the serving layer
• Document operational procedures, performance characteristics, and tuning guidance for internal teams
• Stay current with AI serving research and translate advances into production capabilities

Requirements

• Bachelor’s or Master’s degree in Computer Science or a related field
• Six or more years of experience in distributed systems, infrastructure, or ML platform engineering
• Strong proficiency in Python and a systems language such as Go, Rust, or C++
• Deep experience operating high-throughput, low-latency services in production
• Hands-on experience with LLM or large model inference frameworks such as vLLM or TensorRT-LLM
• Strong understanding of GPU architecture, memory hierarchies, and accelerator utilization
• Familiarity with Kubernetes, autoscaling, and modern cloud platforms
• Experience with observability stacks including metrics, tracing, and structured logging
• Solid grounding in performance engineering and capacity planning
• Strong communication and incident response skills

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related field
• Six or more years of experience in distributed systems, infrastructure, or ML platform engineering
• Strong proficiency in Python and a systems language such as Go, Rust, or C++
• Deep experience operating high-throughput, low-latency services in production
• Hands-on experience with LLM or large model inference frameworks such as vLLM or TensorRT-LLM
• Strong understanding of GPU architecture, memory hierarchies, and accelerator utilization
• Familiarity with Kubernetes, autoscaling, and modern cloud platforms
• Experience with observability stacks including metrics, tracing, and structured logging
• Solid grounding in performance engineering and capacity planning
• Strong communication and incident response skills

Skills

• Open-source contributions to model serving infrastructure
• Experience with multi-region or globally distributed AI serving
• Familiarity with model quantization, distillation, and compression techniques
• Exposure to FinOps for AI workloads and cost-efficient serving design
• Experience supporting external-facing AI APIs at scale

Benefits

Salary: $100K - $150K

Employment Terms & Visa Policy: This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies. This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved. We do not engage in C2C, 1099, or third-party arrangements for this role. BUT STRICTLY NO C2C/1099. All our roles are W2. Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables. No new H1B sponsorship is available for this role. However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates.

Pay

$100K - $150K

Schedule

100% Remote (Continental United States)